Non-intrusive load monitoring (NILM) is a critical problem in creating consumer awareness about electrical power consumption in households with the objective of eliminating wastage and reducing overall energy consumpt...
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ISBN:
(纸本)9789881925381
Non-intrusive load monitoring (NILM) is a critical problem in creating consumer awareness about electrical power consumption in households with the objective of eliminating wastage and reducing overall energy consumption in a society. Many approaches have been explored in non-intrusive load monitoring in recent times with a focus on machine learning of appliance-level details and user activity from analysis of aggregate power consumption. Several technologies and devices have also been developed to collect power consumption data and perform analysis on voltage and current waveforms. However, not much work has been done in analyzing NILM data against demographic parameters such as time of day or day of week as well as occupancy data of households. This article presents a novel approach to identifying active devices and predicting future power usage using demographic data in addition to aggregate power usage over time. We find that SVM (Support Vector Machine) with Edge Analysis works best for device identification and ARMA (Autoregressive Moving Average Model)works best for predicting future power consumption using time series forecasting. We have also collected real aggregate power consumption data from a typical household in India and produced perhaps the first such dataset.
We demonstrate light-emitting hyperbolic metasurfaces in the 1200-1600nm spectral range. The multilayer configuration, ideal for planar integration, enables characterization of hyperbolic dispersion by polarization an...
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Ultrasound has been pointed as a low cost and extremely practical new tool for monitoring body composition and obesity. Thus, this study aims at analyzing the performance of portable US, in comparison with dual energy...
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ISBN:
(纸本)9781467377928
Ultrasound has been pointed as a low cost and extremely practical new tool for monitoring body composition and obesity. Thus, this study aims at analyzing the performance of portable US, in comparison with dual energy X-ray absorptiometry (DXA) reference method, in specific equations for predicting fat percentage on male adolescents. 143 male adolescents aged from 12 to 17 years old were evaluated and data on corporal mass, height and fat percentage were collected by US (%BF US) and DXA (%BF). The initial evaluation showed an under estimation of the US method (mean = 10.57 % and standard deviation = 4.45%) in comparison with DXA reference method (mean = 19.94 % and standard deviation = 5.36%). The creation of a specific model, developed from the US measurements, allowed values of R 2 = 0.853 with standard error of the estimate = 1.49. Bland-Altman concordance graphic analysis did not present significant bias. Results suggest that it is possible to use portable US technology to evaluate fat percentage in adolescents, provided that a specific mathematical modeling is used.
In this work, multiple robots circulate around the boundary of a desired region in order to create a virtual fence. The aim of the this fence is to avoid internal or external agents crossing through the delimited area...
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In this work, multiple robots circulate around the boundary of a desired region in order to create a virtual fence. The aim of the this fence is to avoid internal or external agents crossing through the delimited area. In this paper, we propose a distributed technique that allows a team of robots to plan the deformation of the boundary shape in order to escort the safe region from one place to a goal. Our proposal is composed of two parts. First, we present a distributed planning method for the dynamic boundary. We model the resulting plan as a twice differentiable function. Second, we use the obtained function to guide the robot team, where every member uses only local information for the controller. The robots distribute themselves along the time-varying perimeter and patrol around it. We show in simulation how the robots behave in partially/totally unknown environments with static obstacles.
Named entity recognition (NER) is a preliminary step to performing information extraction and question answering. Most previous studies on NER have been based on supervised machine learning methods that need a large a...
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Named entity recognition (NER) is a preliminary step to performing information extraction and question answering. Most previous studies on NER have been based on supervised machine learning methods that need a large amount of human-annotated training corpus. In this paper, we propose a semi-supervised NER model to minimize the time-consuming and labor-intensive task for constructing the training corpus. The proposed model generates weakly labeled training corpus using a distant supervision method. Then, it improves NER accuracy by refining the weakly labeled training corpus using a bagging-based active learning method. In the experiments, the proposed model outperformed the previous semi-supervised model. It showed F1-measure of 0.764 after 15 times of bagging-based active learning.
Optical coherence tomography (OCT) is a promising research tool for brain imaging and developmental biology. Serving as a three-dimensional optical biopsy technique, OCT provides volumetric reconstruction of brain tis...
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The purpose of this research is to validate the Critical Success Factors (CSFs) of e-Government implementation in Indonesia. The e-Government initiative conducted only to obey the regulation but ignoring the quality. ...
The purpose of this research is to validate the Critical Success Factors (CSFs) of e-Government implementation in Indonesia. The e-Government initiative conducted only to obey the regulation but ignoring the quality. Defining CSFs will help government agencies to avoid failure of e-Government projects. A survey with the questionnaire was used to validate the item of CSF based on expert judgment through two round of Delphi. The result showed from 67 subjects in instrument tested; there are 11 invalid items deleted and remain only 56 items that had good content validity and internal reliability. Therefore, all 56 CSFs should be adopted by government agencies in Indonesia to support e-Government implementation.
Handedness of the director twist in cholesteric liquid crystals is commonly assumed to be the same throughout the medium, determined solely by the chirality of constituent molecules or chiral additives, albeit distort...
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Topologically nontrivial field configurations called "baby skyrmions" behave like particles and give origins to the field of skyrmionics that promises racetrack memory and other technological applications. U...
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